---
title: Polygon IO Toolkit and Tools
---

This notebook shows how to use agents to interact with the [Polygon IO](https://polygon.io/) toolkit. The toolkit provides access to Polygon's Stock Market Data API.

## Setup

### Installation

To use Polygon IO tools, you need to install the `langchain-community` package.

```python
%pip install -qU langchain-community > /dev/null
```

### Credentials

Get your Polygon IO API key [here](https://polygon.io/), and then set it below.

```python
import getpass
import os

if "POLYGON_API_KEY" not in os.environ:
    os.environ["POLYGON_API_KEY"] = getpass.getpass()
```

It's also helpful (but not needed) to set up [LangSmith](https://smith.langchain.com/) for best-in-class observability

```python
# os.environ["LANGSMITH_TRACING"] = "true"
# os.environ["LANGSMITH_API_KEY"] = getpass.getpass()
```

## Toolkit

Polygon IO provides both a toolkit and individual tools for each of the tools included in the toolkit. Let's first explore using the toolkit and then we will walk through using the individual tools.

### Initialization

We can initialize the toolkit by importing it alongside the API wrapper needed to use the tools.

```python
from langchain_community.agent_toolkits.polygon.toolkit import PolygonToolkit
from langchain_community.utilities.polygon import PolygonAPIWrapper

polygon = PolygonAPIWrapper()
toolkit = PolygonToolkit.from_polygon_api_wrapper(polygon)
```

### Tools

We can examine the tools included in this toolkit:

```python
toolkit.get_tools()
```

```output
[PolygonAggregates(api_wrapper=PolygonAPIWrapper(polygon_api_key='K231Rg76pOsN_IdT2eWhCC9npBguCYEj')),
 PolygonLastQuote(api_wrapper=PolygonAPIWrapper(polygon_api_key='K231Rg76pOsN_IdT2eWhCC9npBguCYEj')),
 PolygonTickerNews(api_wrapper=PolygonAPIWrapper(polygon_api_key='K231Rg76pOsN_IdT2eWhCC9npBguCYEj')),
 PolygonFinancials(api_wrapper=PolygonAPIWrapper(polygon_api_key='K231Rg76pOsN_IdT2eWhCC9npBguCYEj'))]
```

### Use within an agent

Next we can add our toolkit to an agent and use it!

```python
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(temperature=0, model="gpt-4o")

instructions = """You are an assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)

agent = create_openai_functions_agent(llm, toolkit.get_tools(), prompt)
```

```python
agent_executor = AgentExecutor(
    agent=agent,
    tools=toolkit.get_tools(),
    verbose=True,
)
```

We can examine yesterdays information for a certain ticker:

```python
agent_executor.invoke({"input": "What was yesterdays financial info for AAPL?"})
```

```output
> Entering new AgentExecutor chain...

Invoking: `polygon_aggregates` with `{'ticker': 'AAPL', 'timespan': 'day', 'timespan_multiplier': 1, 'from_date': '2023-10-05', 'to_date': '2023-10-05'}`


[{"v": 48527918.0, "vw": 174.2297, "o": 173.79, "c": 174.91, "h": 175.45, "l": 172.68, "t": 1696478400000, "n": 509175}]Here is the financial information for Apple Inc. (AAPL) for October 5, 2023:

- **Opening Price**: $173.79
- **Closing Price**: $174.91
- **High Price**: $175.45
- **Low Price**: $172.68
- **Volume**: 48,527,918 shares
- **Volume Weighted Average Price (VWAP)**: $174.2297
- **Number of Transactions**: 509,175

> Finished chain.
```

```output
{'input': 'What was yesterdays financial info for AAPL?',
 'output': 'Here is the financial information for Apple Inc. (AAPL) for October 5, 2023:\n\n- **Opening Price**: $173.79\n- **Closing Price**: $174.91\n- **High Price**: $175.45\n- **Low Price**: $172.68\n- **Volume**: 48,527,918 shares\n- **Volume Weighted Average Price (VWAP)**: $174.2297\n- **Number of Transactions**: 509,175'}
```

We can also ask for recent news regarding a stock:

```python
agent_executor.invoke({"input": "What is the recent new regarding MSFT?"})
```

```output
> Entering new AgentExecutor chain...

Invoking: `polygon_ticker_news` with `{'query': 'MSFT'}`


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However, the article does not provide any specific insights or sentiment about the company."}, {"ticker": "MSFT", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that the CrowdStrike software update caused a system crash on over 8.5 million Microsoft Windows computers worldwide, but it does not provide any specific insights or sentiment about Microsoft."}, {"ticker": "DAL", "sentiment": "negative", "sentiment_reasoning": "The article states that Delta Airlines was one of the worst affected companies, claiming the crisis cost it $500 million after a five-day service outage that grounded some of its planes, disrupted labor, and forced it to reschedule thousands of consumer flights."}, {"ticker": "NDAQ", "sentiment": "neutral", "sentiment_reasoning": "The article mentions the Nasdaq's forward price-to-earnings (P/E) multiple estimate of 28, which is used as a comparison to CrowdStrike's higher valuation. However, the article does not provide any specific insights or sentiment about the Nasdaq."}]}, {"id": "c72d90f54fb21db148b53ece4d66c0ce13b0335677bc633e435da704991f6f1f", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Prediction: This Will Be One of the World's First $5 Trillion Artificial Intelligence (AI) Stocks", "author": "The Motley Fool", "published_utc": "2024-08-07T08:51:00Z", "article_url": "https://www.fool.com/investing/2024/08/07/prediction-this-will-be-first-5-trillion-ai-stock/?source=iedfolrf0000001", "tickers": ["MSFT", "NVDA", "AAPL", "AMD"], "image_url": "https://g.foolcdn.com/editorial/images/785674/the-microsoft-logo-on-a-black-background.jpg", "description": "Microsoft is quickly becoming a leader in the AI industry, with its Copilot virtual assistant and Azure cloud platform driving significant growth. The article predicts Microsoft could reach a $5 trillion market cap within the next few years, driven by the company's investments in AI infrastructure and software.", "keywords": ["Microsoft", "Artificial Intelligence", "Cloud Computing", "Copilot", "Azure"], "insights": [{"ticker": "MSFT", "sentiment": "positive", "sentiment_reasoning": "The article predicts that Microsoft's investments in AI, including Copilot and Azure, will drive the company to a $5 trillion market cap within the next few years, representing significant growth potential."}, {"ticker": "NVDA", "sentiment": "positive", "sentiment_reasoning": "The article cites Nvidia CEO Jensen Huang's forecast that data center operators can generate $5 in revenue for every $1 spent on chips, which could benefit Microsoft's AI initiatives."}, {"ticker": "AAPL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Apple is similarly valued to Microsoft and has a path to the $5 trillion milestone, but does not provide any specific insights about Apple's AI strategy or potential."}, {"ticker": "AMD", "sentiment": "neutral", "sentiment_reasoning": "The article briefly mentions that Microsoft is building data centers with chips from suppliers like Advanced Micro Devices, but does not provide any further analysis or insights about the company."}]}, {"id": "6c94364db9626b7b541c480a0b37c0d3437ffe863588d70ea41728a970bf8877", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Opinion: This Is the Best Artificial Intelligence (AI) Stock to Buy Right Now", "author": "The Motley Fool", "published_utc": "2024-08-06T08:44:00Z", "article_url": "https://www.fool.com/investing/2024/08/06/opinion-this-is-the-best-artificial-intelligence-a/?source=iedfolrf0000001", "tickers": ["TSM", "NVDA", "MSFT"], "image_url": "https://g.foolcdn.com/editorial/images/784732/person-looking-at-an-artifical-intelligence-ai-dashboard.jpg", "description": "The article discusses Taiwan Semiconductor Manufacturing (TSMC) as the best AI stock to buy right now, citing its leading position in chip fabrication and upcoming 2nm chip technology that could significantly improve power efficiency for AI applications.", "keywords": ["Taiwan Semiconductor Manufacturing", "AI", "semiconductor", "chip fabrication"], "insights": [{"ticker": "TSM", "sentiment": "positive", "sentiment_reasoning": "The article highlights TSMC's leading position in chip fabrication, its upcoming 2nm chip technology that could improve power efficiency for AI, and its strong financial performance, making it a favorable investment option for AI-related applications."}, {"ticker": "NVDA", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Nvidia as one of TSMC's clients, but does not provide a specific sentiment or recommendation for Nvidia as a stock."}, {"ticker": "MSFT", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Microsoft as one of TSMC's clients, but does not provide a specific sentiment or recommendation for Microsoft as a stock."}]}, {"id": "17e9bfed1413912b6d594f0d8f072c1d39d3b5b665b0758c59ca5e6f02f0d59c", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Cloud Wars: Amazon Leads, Microsoft Disappoints, Google Surges", "author": "The Motley Fool", "published_utc": "2024-08-06T07:19:00Z", "article_url": "https://www.fool.com/investing/2024/08/06/cloud-wars-amazon--microsoft-google/?source=iedfolrf0000001", "tickers": ["AMZN", "MSFT", "GOOG", "GOOGL"], "image_url": "https://g.foolcdn.com/editorial/images/785957/data-center-woman-holding-laptop.jpg", "description": "The article discusses the performance of the major cloud providers - Amazon, Microsoft, and Alphabet (Google) - in the latest quarter. Amazon remains the market leader, while Microsoft's growth disappointed Wall Street. Google Cloud, on the other hand, saw a surge in revenue and profitability.", "keywords": ["cloud services", "Amazon", "Microsoft", "Alphabet", "Google Cloud"], "insights": [{"ticker": "AMZN", "sentiment": "positive", "sentiment_reasoning": "Amazon remains the undisputed leader in the cloud services market, with its AWS segment reporting strong revenue growth and profitability."}, {"ticker": "MSFT", "sentiment": "neutral", "sentiment_reasoning": "Microsoft's Azure platform continues to gain ground, but its growth in the latest quarter disappointed Wall Street, though the company expects acceleration in the second half of 2024."}, {"ticker": "GOOG", "sentiment": "positive", "sentiment_reasoning": "Google Cloud's revenue surged and the unit reported its first quarter of over $1 billion in operating profit, indicating strong growth and profitability."}, {"ticker": "GOOGL", "sentiment": "positive", "sentiment_reasoning": "Google Cloud's revenue surged and the unit reported its first quarter of over $1 billion in operating profit, indicating strong growth and profitability."}]}]Here are some recent news articles regarding Microsoft (MSFT):

1. **Prediction: 1 Unstoppable Stock Will Join Nvidia, Apple, Microsoft, and Alphabet in the $2 Trillion Club Within 3 Years**
   - **Publisher:** The Motley Fool
   - **Published Date:** August 8, 2024
   - **Summary:** The article predicts that Meta Platforms (META) will join the $2 trillion club within 3 years, driven by its advancements in artificial intelligence and potential to drive significant returns for investors. Microsoft is mentioned as one of the companies currently valued at over $2 trillion.
   - [Read more](https://www.fool.com/investing/2024/08/08/prediction-1-stock-nvidia-microsoft-in-2-trillion/?source=iedfolrf0000001)

2. **Nasdaq Correction: My Top "Magnificent Seven" Stock to Buy in August**
   - **Publisher:** The Motley Fool
   - **Published Date:** August 8, 2024
   - **Summary:** The article discusses why Microsoft is a compelling investment opportunity among the 'Magnificent Seven' tech stocks, despite the recent market sell-off. It highlights Microsoft's strong profitability, ongoing investments in cloud and AI, and its ability to balance growth and shareholder returns.
   - [Read more](https://www.fool.com/investing/2024/08/08/nasdaq-buy-microsoft-stock-magnificent-seven/?source=iedfolrf0000001)

3. **Zacks Earnings Trends Highlights: Microsoft, Alphabet, Amazon, Apple, Meta, Tesla and Nvidia**
   - **Publisher:** Zacks Investment Research
   - **Published Date:** August 8, 2024
   - **Summary:** The overall earnings picture for Q2 2024 is one of stability and an improving outlook, with management teams providing a reassuring view of the economic situation. However, estimates for Q3 2024 have started to weaken faster than in previous quarters.
   - [Read more](https://www.zacks.com/stock/news/2318733/zacks-earnings-trends-highlights-microsoft-alphabet-amazon-apple-meta-tesla-and-nvidia?cid=CS-ZC-FT-press_releases-2318733)

4. **VDS: Steve Chen, Randi Zuckerberg, and Juan Antonio Samaranch Lead Top Speaker Lineup at Valencia’s Premier Tech Event**
   - **Publisher:** GlobeNewswire Inc.
   - **Published Date:** August 7, 2024
   - **Summary:** VDS, a prominent tech event in Southern Europe, will feature influential speakers like Steve Chen, Randi Zuckerberg, and Juan Antonio Samaranch. The event aims to empower entrepreneurs and foster connections in the tech ecosystem.
   - [Read more](https://www.globenewswire.com/news-release/2024/08/07/2926271/0/en/VDS-Steve-Chen-Randi-Zuckerberg-and-Juan-Antonio-Samaranch-Lead-Top-Speaker-Lineup-at-Valencia-s-Premier-Tech-Event.html)

5. **Which 'Magnificent 7' Stock Offers the Most Value for Money Today?**
   - **Publisher:** Investing.com
   - **Published Date:** August 7, 2024
   - **Summary:** The article analyzes the performance and outlook of the 'Magnificent 7' stocks - Apple, Microsoft, Amazon, Alphabet, Meta, Nvidia, and Tesla - in the current market conditions. It highlights the strengths and challenges faced by each company and provides insights on which stock offers the most value for investors.
   - [Read more](https://www.investing.com/analysis/which-magnificent-7-stock-offers-the-most-value-for-money-today-200650755)

These articles provide a mix of predictions, investment insights, and event highlights related to Microsoft and its position in the tech industry.

> Finished chain.
```

```output
{'input': 'What is the recent new regarding MSFT?',
 'output': 'Here are some recent news articles regarding Microsoft (MSFT):\n\n1. **Prediction: 1 Unstoppable Stock Will Join Nvidia, Apple, Microsoft, and Alphabet in the $2 Trillion Club Within 3 Years**\n   - **Publisher:** The Motley Fool\n   - **Published Date:** August 8, 2024\n   - **Summary:** The article predicts that Meta Platforms (META) will join the $2 trillion club within 3 years, driven by its advancements in artificial intelligence and potential to drive significant returns for investors. Microsoft is mentioned as one of the companies currently valued at over $2 trillion.\n   - [Read more](https://www.fool.com/investing/2024/08/08/prediction-1-stock-nvidia-microsoft-in-2-trillion/?source=iedfolrf0000001)\n\n2. **Nasdaq Correction: My Top "Magnificent Seven" Stock to Buy in August**\n   - **Publisher:** The Motley Fool\n   - **Published Date:** August 8, 2024\n   - **Summary:** The article discusses why Microsoft is a compelling investment opportunity among the \'Magnificent Seven\' tech stocks, despite the recent market sell-off. It highlights Microsoft\'s strong profitability, ongoing investments in cloud and AI, and its ability to balance growth and shareholder returns.\n   - [Read more](https://www.fool.com/investing/2024/08/08/nasdaq-buy-microsoft-stock-magnificent-seven/?source=iedfolrf0000001)\n\n3. **Zacks Earnings Trends Highlights: Microsoft, Alphabet, Amazon, Apple, Meta, Tesla and Nvidia**\n   - **Publisher:** Zacks Investment Research\n   - **Published Date:** August 8, 2024\n   - **Summary:** The overall earnings picture for Q2 2024 is one of stability and an improving outlook, with management teams providing a reassuring view of the economic situation. However, estimates for Q3 2024 have started to weaken faster than in previous quarters.\n   - [Read more](https://www.zacks.com/stock/news/2318733/zacks-earnings-trends-highlights-microsoft-alphabet-amazon-apple-meta-tesla-and-nvidia?cid=CS-ZC-FT-press_releases-2318733)\n\n4. **VDS: Steve Chen, Randi Zuckerberg, and Juan Antonio Samaranch Lead Top Speaker Lineup at Valencia’s Premier Tech Event**\n   - **Publisher:** GlobeNewswire Inc.\n   - **Published Date:** August 7, 2024\n   - **Summary:** VDS, a prominent tech event in Southern Europe, will feature influential speakers like Steve Chen, Randi Zuckerberg, and Juan Antonio Samaranch. The event aims to empower entrepreneurs and foster connections in the tech ecosystem.\n   - [Read more](https://www.globenewswire.com/news-release/2024/08/07/2926271/0/en/VDS-Steve-Chen-Randi-Zuckerberg-and-Juan-Antonio-Samaranch-Lead-Top-Speaker-Lineup-at-Valencia-s-Premier-Tech-Event.html)\n\n5. **Which \'Magnificent 7\' Stock Offers the Most Value for Money Today?**\n   - **Publisher:** Investing.com\n   - **Published Date:** August 7, 2024\n   - **Summary:** The article analyzes the performance and outlook of the \'Magnificent 7\' stocks - Apple, Microsoft, Amazon, Alphabet, Meta, Nvidia, and Tesla - in the current market conditions. It highlights the strengths and challenges faced by each company and provides insights on which stock offers the most value for investors.\n   - [Read more](https://www.investing.com/analysis/which-magnificent-7-stock-offers-the-most-value-for-money-today-200650755)\n\nThese articles provide a mix of predictions, investment insights, and event highlights related to Microsoft and its position in the tech industry.'}
```

You can also ask about financial information for a company:

```python
agent_executor.invoke(
    {"input": "What were last quarters financial numbers for Nvidia?"}
)
```

```output
> Entering new AgentExecutor chain...

Invoking: `polygon_financials` with `{'query': 'NVDA'}`


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"unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}}, "income_statement": {"income_tax_expense_benefit": {"value": 6291000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "basic_average_shares": {"value": 7402000000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "interest_expense_operating": {"value": 255000000.0, "unit": "USD", "label": "Interest Expense, Operating", "order": 2700}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "diluted_earnings_per_share": {"value": 17.09, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}, "income_tax_expense_benefit_deferred": {"value": -2931000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit, Deferred", "order": 2400}, "basic_earnings_per_share": {"value": 17.27, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "operating_income_loss": {"value": 47740000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "net_income_loss_attributable_to_parent": {"value": 42597000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}, "benefits_costs_expenses": {"value": 30886000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "revenues": {"value": 79774000000.0, "unit": "USD", "label": "Revenues", "order": 100}, "income_loss_from_continuing_operations_before_tax": {"value": 48888000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "nonoperating_income_loss": {"value": 1148000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "cost_of_revenue": {"value": 19715000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "selling_general_and_administrative_expenses": {"value": 2800000000.0, "unit": "USD", "label": "Selling, General, and Administrative Expenses", "order": 1010}, "net_income_loss_available_to_common_stockholders_basic": {"value": 42597000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "costs_and_expenses": {"value": 30886000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "diluted_average_shares": {"value": 7482000000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "gross_profit": {"value": 60059000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}, "net_income_loss": {"value": 42597000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "income_loss_from_continuing_operations_after_tax": {"value": 42597000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "operating_expenses": {"value": 12319000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "research_and_development": {"value": 9519000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}}, "balance_sheet": {"intangible_assets": {"value": 986000000.0, "unit": "USD", "label": "Intangible Assets", "order": 330}, "other_current_assets": {"value": 47865000000.0, "unit": "USD", "label": "Other Current Assets", "order": 250}, "equity_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Equity Attributable To Noncontrolling Interest", "order": 1500}, "equity": {"value": 49142000000.0, "unit": "USD", "label": "Equity", "order": 1400}, "other_current_liabilities": {"value": 11869000000.0, "unit": "USD", "label": "Other Current Liabilities", "order": 740}, "noncurrent_assets": {"value": 23343000000.0, "unit": "USD", "label": "Noncurrent Assets", "order": 300}, "equity_attributable_to_parent": {"value": 49142000000.0, "unit": "USD", "label": "Equity Attributable To Parent", "order": 1600}, "inventory": {"value": 5864000000.0, "unit": "USD", "label": "Inventory", "order": 230}, "noncurrent_liabilities": {"value": 12707000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "liabilities": {"value": 27930000000.0, "unit": "USD", "label": "Liabilities", "order": 600}, "assets": {"value": 77072000000.0, "unit": "USD", "label": "Assets", "order": 100}, "other_noncurrent_assets": {"value": 18351000000.0, "unit": "USD", "label": "Other Non-current Assets", "order": 350}, "wages": {"value": 639000000.0, "unit": "USD", "label": "Wages", "order": 730}, "long_term_debt": {"value": 9710000000.0, "unit": "USD", "label": "Long-term Debt", "order": 810}, "liabilities_and_equity": {"value": 77072000000.0, "unit": "USD", "label": "Liabilities And Equity", "order": 1900}, "fixed_assets": {"value": 4006000000.0, "unit": "USD", "label": "Fixed Assets", "order": 320}, "current_assets": {"value": 53729000000.0, "unit": "USD", "label": "Current Assets", "order": 200}, "accounts_payable": {"value": 2715000000.0, "unit": "USD", "label": "Accounts Payable", "order": 710}, "other_noncurrent_liabilities": {"value": 2997000000.0, "unit": "USD", "label": "Other Non-current Liabilities", "order": 820}, "current_liabilities": {"value": 15223000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}}}}, {"start_date": "2024-01-29", "end_date": "2024-04-28", "filing_date": "2024-05-29", "acceptance_datetime": "2024-05-29T20:36:32Z", "timeframe": "quarterly", "fiscal_period": "Q1", "fiscal_year": "2025", "cik": "0001045810", "sic": "3674", "tickers": ["NVDA"], "company_name": "NVIDIA CORP", "source_filing_url": "https://api.polygon.io/v1/reference/sec/filings/0001045810-24-000124", "source_filing_file_url": "http://api.polygon.io/v1/reference/sec/filings/0001045810-24-000124/files/nvda-20240428_htm.xml", "financials": {"cash_flow_statement": {"net_cash_flow_from_financing_activities": {"value": -9345000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities", "order": 700}, "net_cash_flow_from_investing_activities_continuing": {"value": -5693000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities, Continuing", "order": 500}, "net_cash_flow_from_operating_activities_continuing": {"value": 15345000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities, Continuing", "order": 200}, "net_cash_flow": {"value": 307000000.0, "unit": "USD", "label": "Net Cash Flow", "order": 1100}, "net_cash_flow_from_operating_activities": {"value": 15345000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities", "order": 100}, "net_cash_flow_from_investing_activities": {"value": -5693000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities", "order": 400}, "net_cash_flow_continuing": {"value": 307000000.0, "unit": "USD", "label": "Net Cash Flow, Continuing", "order": 1200}, "net_cash_flow_from_financing_activities_continuing": {"value": -9345000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities, Continuing", "order": 800}}, "comprehensive_income": {"comprehensive_income_loss": {"value": 14745000000.0, "unit": "USD", "label": "Comprehensive Income/Loss", "order": 100}, "comprehensive_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}, "comprehensive_income_loss_attributable_to_parent": {"value": 14745000000.0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Parent", "order": 300}, "other_comprehensive_income_loss": {"value": 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"revenues": {"value": 5931000000.0, "unit": "USD", "label": "Revenues", "order": 100}, "net_income_loss_available_to_common_stockholders_basic": {"value": 680000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "interest_expense_operating": {"value": 65000000.0, "unit": "USD", "label": "Interest Expense, Operating", "order": 2700}, "income_tax_expense_benefit_deferred": {"value": -532000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit, Deferred", "order": 2400}, "nonoperating_income_loss": {"value": 12000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "operating_income_loss": {"value": 601000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "costs_and_expenses": {"value": 5318000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "income_tax_expense_benefit": {"value": -67000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "operating_expenses": {"value": 2576000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "income_loss_from_continuing_operations_after_tax": {"value": 680000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "income_loss_from_continuing_operations_before_tax": {"value": 613000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "basic_average_shares": {"value": 2483000000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "gross_profit": {"value": 3177000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}, "net_income_loss_attributable_to_parent": {"value": 680000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}, "basic_earnings_per_share": {"value": 0.27, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "net_income_loss": {"value": 680000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "research_and_development": {"value": 1945000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}, "other_operating_expenses": {"value": 0, "unit": "USD", "label": "Other Operating Expenses", "order": 1040}, "benefits_costs_expenses": {"value": 5318000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "diluted_average_shares": {"value": 2499000000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "cost_of_revenue": {"value": 2754000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "diluted_earnings_per_share": {"value": 0.27, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}}}}]Here are the financial numbers for Nvidia for the last quarter (Q1 of fiscal year 2025):

### Income Statement
- **Revenues:** $26,044,000,000
- **Cost of Revenue:** $5,638,000,000
- **Gross Profit:** $20,406,000,000
- **Operating Expenses:** $3,497,000,000
  - **Research and Development:** $2,720,000,000
  - **Selling, General, and Administrative Expenses:** $777,000,000
- **Operating Income:** $16,909,000,000
- **Nonoperating Income:** $370,000,000
- **Income Before Tax:** $17,279,000,000
- **Income Tax Expense:** $2,398,000,000
- **Net Income:** $14,881,000,000
- **Net Income Attributable to Parent:** $14,881,000,000
- **Basic Earnings Per Share:** $6.04
- **Diluted Earnings Per Share:** $5.98

### Balance Sheet
- **Total Assets:** $77,072,000,000
  - **Current Assets:** $53,729,000,000
    - **Inventory:** $5,864,000,000
    - **Other Current Assets:** $47,865,000,000
  - **Noncurrent Assets:** $23,343,000,000
    - **Fixed Assets:** $4,006,000,000
    - **Intangible Assets:** $986,000,000
    - **Other Non-current Assets:** $18,351,000,000
- **Total Liabilities:** $27,930,000,000
  - **Current Liabilities:** $15,223,000,000
    - **Accounts Payable:** $2,715,000,000
    - **Other Current Liabilities:** $11,869,000,000
  - **Noncurrent Liabilities:** $12,707,000,000
    - **Long-term Debt:** $9,710,000,000
    - **Other Non-current Liabilities:** $2,997,000,000
- **Total Equity:** $49,142,000,000
  - **Equity Attributable to Parent:** $49,142,000,000

### Cash Flow Statement
- **Net Cash Flow from Operating Activities:** $15,345,000,000
- **Net Cash Flow from Investing Activities:** -$5,693,000,000
- **Net Cash Flow from Financing Activities:** -$9,345,000,000
- **Net Cash Flow:** $307,000,000

### Comprehensive Income
- **Comprehensive Income:** $14,745,000,000
- **Other Comprehensive Income:** -$136,000,000
- **Comprehensive Income Attributable to Parent:** $14,745,000,000

These numbers reflect Nvidia's strong financial performance in the first quarter of fiscal year 2025.

> Finished chain.
```

```output
{'input': 'What were last quarters financial numbers for Nvidia?',
 'output': "Here are the financial numbers for Nvidia for the last quarter (Q1 of fiscal year 2025):\n\n### Income Statement\n- **Revenues:** $26,044,000,000\n- **Cost of Revenue:** $5,638,000,000\n- **Gross Profit:** $20,406,000,000\n- **Operating Expenses:** $3,497,000,000\n  - **Research and Development:** $2,720,000,000\n  - **Selling, General, and Administrative Expenses:** $777,000,000\n- **Operating Income:** $16,909,000,000\n- **Nonoperating Income:** $370,000,000\n- **Income Before Tax:** $17,279,000,000\n- **Income Tax Expense:** $2,398,000,000\n- **Net Income:** $14,881,000,000\n- **Net Income Attributable to Parent:** $14,881,000,000\n- **Basic Earnings Per Share:** $6.04\n- **Diluted Earnings Per Share:** $5.98\n\n### Balance Sheet\n- **Total Assets:** $77,072,000,000\n  - **Current Assets:** $53,729,000,000\n    - **Inventory:** $5,864,000,000\n    - **Other Current Assets:** $47,865,000,000\n  - **Noncurrent Assets:** $23,343,000,000\n    - **Fixed Assets:** $4,006,000,000\n    - **Intangible Assets:** $986,000,000\n    - **Other Non-current Assets:** $18,351,000,000\n- **Total Liabilities:** $27,930,000,000\n  - **Current Liabilities:** $15,223,000,000\n    - **Accounts Payable:** $2,715,000,000\n    - **Other Current Liabilities:** $11,869,000,000\n  - **Noncurrent Liabilities:** $12,707,000,000\n    - **Long-term Debt:** $9,710,000,000\n    - **Other Non-current Liabilities:** $2,997,000,000\n- **Total Equity:** $49,142,000,000\n  - **Equity Attributable to Parent:** $49,142,000,000\n\n### Cash Flow Statement\n- **Net Cash Flow from Operating Activities:** $15,345,000,000\n- **Net Cash Flow from Investing Activities:** -$5,693,000,000\n- **Net Cash Flow from Financing Activities:** -$9,345,000,000\n- **Net Cash Flow:** $307,000,000\n\n### Comprehensive Income\n- **Comprehensive Income:** $14,745,000,000\n- **Other Comprehensive Income:** -$136,000,000\n- **Comprehensive Income Attributable to Parent:** $14,745,000,000\n\nThese numbers reflect Nvidia's strong financial performance in the first quarter of fiscal year 2025."}
```

Lastly, you can get live data, although this requires a "Stocks Advanced" subscription

```python
agent_executor.invoke({"input": "What is Doordash stock price right now?"})
```

### API reference

For detailed documentation of all the Polygon IO toolkit features and configurations head to the API reference: [python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.polygon.toolkit.PolygonToolkit.html](https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.polygon.toolkit.PolygonToolkit.html)

## Tools

First, let's set up the API wrapper that we will use for all the tools and then we will walk through each one of them.

```python
from langchain_community.utilities.polygon import PolygonAPIWrapper

api_wrapper = PolygonAPIWrapper()
```

### Aggregate

This tool shows aggregate information for a stock.

```python
from langchain_community.tools.polygon.aggregates import PolygonAggregates

aggregate_tool = PolygonAggregates(api_wrapper=api_wrapper)

# We can invoke directly with input
res = aggregate_tool.invoke(
    {
        "ticker": "AAPL",
        "timespan": "day",
        "timespan_multiplier": 1,
        "from_date": "2024-08-01",
        "to_date": "2024-08-07",
    }
)

model_generated_tool_call = {
    "args": {
        "ticker": "AAPL",
        "timespan": "day",
        "timespan_multiplier": 1,
        "from_date": "2024-08-01",
        "to_date": "2024-08-07",
    },
    "id": "1",
    "name": aggregate_tool.name,
    "type": "tool_call",
}

# Or we can invoke with a tool call
res = aggregate_tool.invoke(model_generated_tool_call)

print(res)
```

```output
content='[{"v": 61125243.0, "vw": 219.4773, "o": 224.37, "c": 218.36, "h": 224.48, "l": 217.02, "t": 1722484800000, "n": 876046}, {"v": 102635321.0, "vw": 221.9519, "o": 219.15, "c": 219.86, "h": 225.6, "l": 217.71, "t": 1722571200000, "n": 1132479}, {"v": 119382508.0, "vw": 207.801, "o": 199.09, "c": 209.27, "h": 213.5, "l": 196, "t": 1722830400000, "n": 1661493}, {"v": 69545387.0, "vw": 206.739, "o": 205.3, "c": 207.23, "h": 209.99, "l": 201.07, "t": 1722916800000, "n": 921946}, {"v": 60109650.0, "vw": 210.7375, "o": 206.9, "c": 209.82, "h": 213.64, "l": 206.39, "t": 1723003200000, "n": 741607}]' name='polygon_aggregates' tool_call_id='1'
```

### Financials

This tool provides general financial information about a stock

```python
from langchain_community.tools.polygon.financials import PolygonFinancials

financials_tool = PolygonFinancials(api_wrapper=api_wrapper)

# We can invoke directly with input
res = financials_tool.invoke({"query": "AAPL"})

model_generated_tool_call = {
    "args": {"query": "AAPL"},
    "id": "1",
    "name": financials_tool.name,
    "type": "tool_call",
}

# Or we can invoke with a tool call
res = financials_tool.invoke(model_generated_tool_call)

print(res)
```

```output
content='[{"start_date": "2023-03-31", "end_date": "2024-03-30", "timeframe": "ttm", "fiscal_period": "TTM", "fiscal_year": "", "cik": "0000320193", "sic": "3571", "tickers": ["AAPL"], "company_name": "APPLE INC", "financials": {"cash_flow_statement": {"net_cash_flow_from_operating_activities": {"value": 110563000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities", "order": 100}, "net_cash_flow": {"value": 6792000000.0, "unit": "USD", "label": "Net Cash Flow", "order": 1100}, "net_cash_flow_from_investing_activities_continuing": {"value": 4448000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities, Continuing", "order": 500}, "net_cash_flow_from_investing_activities": {"value": 4448000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities", "order": 400}, "net_cash_flow_continuing": {"value": 6792000000.0, "unit": "USD", "label": "Net Cash Flow, Continuing", "order": 1200}, "net_cash_flow_from_operating_activities_continuing": {"value": 110563000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities, Continuing", "order": 200}, "net_cash_flow_from_financing_activities": {"value": -108219000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities", "order": 700}, "net_cash_flow_from_financing_activities_continuing": {"value": -108219000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities, Continuing", "order": 800}}, "comprehensive_income": {"other_comprehensive_income_loss_attributable_to_parent": {"value": 2786000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss Attributable To Parent", "order": 600}, "other_comprehensive_income_loss": {"value": 103175000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss", "order": 400}, "comprehensive_income_loss_attributable_to_parent": {"value": 103175000000.0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Parent", "order": 300}, "comprehensive_income_loss": {"value": 103175000000.0, "unit": "USD", "label": "Comprehensive Income/Loss", "order": 100}, "comprehensive_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}}, "income_statement": {"income_loss_from_continuing_operations_after_tax": {"value": 100389000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "net_income_loss_available_to_common_stockholders_basic": {"value": 100389000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "net_income_loss_attributable_to_parent": {"value": 100389000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}, "income_loss_from_continuing_operations_before_tax": {"value": 118112000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "gross_profit": {"value": 173966000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}, "operating_expenses": {"value": 55726000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "operating_income_loss": {"value": 118240000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "diluted_earnings_per_share": {"value": 6.43, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}, "basic_earnings_per_share": {"value": 6.459999999999999, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "research_and_development": {"value": 30348000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}, "net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "selling_general_and_administrative_expenses": {"value": 25378000000.0, "unit": "USD", "label": "Selling, General, and Administrative Expenses", "order": 1010}, "cost_of_revenue": {"value": 207657000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "benefits_costs_expenses": {"value": 263511000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "net_income_loss": {"value": 100389000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "diluted_average_shares": {"value": 31248980000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "nonoperating_income_loss": {"value": -128000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "income_tax_expense_benefit": {"value": 17723000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "costs_and_expenses": {"value": 263511000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "basic_average_shares": {"value": 31107158000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "revenues": {"value": 381623000000.0, "unit": "USD", "label": "Revenues", "order": 100}}, "balance_sheet": {"accounts_payable": {"value": 45753000000.0, "unit": "USD", "label": "Accounts Payable", "order": 710}, "other_noncurrent_assets": {"value": 165449000000.0, "unit": "USD", "label": "Other Non-current Assets", "order": 350}, "other_noncurrent_liabilities": {"value": 36795000000.0, "unit": "USD", "label": "Other Non-current Liabilities", "order": 820}, "assets": {"value": 337411000000.0, "unit": "USD", "label": "Assets", "order": 100}, "noncurrent_liabilities": {"value": 139395000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "liabilities_and_equity": {"value": 337411000000.0, "unit": "USD", "label": "Liabilities And Equity", "order": 1900}, "noncurrent_assets": {"value": 208995000000.0, "unit": "USD", "label": "Noncurrent Assets", "order": 300}, "equity": {"value": 74194000000.0, "unit": "USD", "label": "Equity", "order": 1400}, "inventory": {"value": 6232000000.0, "unit": "USD", "label": "Inventory", "order": 230}, "fixed_assets": {"value": 43546000000.0, "unit": "USD", "label": "Fixed Assets", "order": 320}, "other_current_assets": {"value": 122184000000.0, "unit": "USD", "label": "Other Current Assets", "order": 250}, "current_assets": {"value": 128416000000.0, "unit": "USD", "label": "Current Assets", "order": 200}, "liabilities": {"value": 263217000000.0, "unit": "USD", "label": "Liabilities", "order": 600}, "long_term_debt": {"value": 102600000000.0, "unit": "USD", "label": "Long-term Debt", "order": 810}, "other_current_liabilities": {"value": 78069000000.0, "unit": "USD", "label": "Other Current Liabilities", "order": 740}, "current_liabilities": {"value": 123822000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}, "equity_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Equity Attributable To Noncontrolling Interest", "order": 1500}, "equity_attributable_to_parent": {"value": 74194000000.0, "unit": "USD", "label": "Equity Attributable To Parent", "order": 1600}}}}, {"start_date": "2023-12-31", "end_date": "2024-03-30", "filing_date": "2024-05-03", "acceptance_datetime": "2024-05-02T22:04:25Z", "timeframe": "quarterly", "fiscal_period": "Q2", "fiscal_year": "2024", "cik": "0000320193", "sic": "3571", "tickers": ["AAPL"], "company_name": "Apple Inc.", "source_filing_url": "https://api.polygon.io/v1/reference/sec/filings/0000320193-24-000069", "source_filing_file_url": "http://api.polygon.io/v1/reference/sec/filings/0000320193-24-000069/files/aapl-20240330_htm.xml", "financials": {"balance_sheet": {"other_current_liabilities": {"value": 78069000000.0, "unit": "USD", "label": "Other Current Liabilities", "order": 740}, "inventory": {"value": 6232000000.0, "unit": "USD", "label": "Inventory", "order": 230}, "long_term_debt": {"value": 102600000000.0, "unit": "USD", "label": "Long-term Debt", "order": 810}, "accounts_payable": {"value": 45753000000.0, "unit": "USD", "label": "Accounts Payable", "order": 710}, "fixed_assets": {"value": 43546000000.0, "unit": "USD", "label": "Fixed Assets", "order": 320}, "equity": {"value": 74194000000.0, "unit": "USD", "label": "Equity", "order": 1400}, "noncurrent_liabilities": {"value": 139395000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "current_assets": {"value": 128416000000.0, "unit": "USD", "label": "Current Assets", "order": 200}, "other_noncurrent_liabilities": {"value": 36795000000.0, "unit": "USD", "label": "Other Non-current Liabilities", "order": 820}, "equity_attributable_to_parent": {"value": 74194000000.0, "unit": "USD", "label": "Equity Attributable To Parent", "order": 1600}, "liabilities": {"value": 263217000000.0, "unit": "USD", "label": "Liabilities", "order": 600}, "assets": {"value": 337411000000.0, "unit": "USD", "label": "Assets", "order": 100}, "equity_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Equity Attributable To Noncontrolling Interest", "order": 1500}, "other_noncurrent_assets": {"value": 165449000000.0, "unit": "USD", "label": "Other Non-current Assets", "order": 350}, "other_current_assets": {"value": 122184000000.0, "unit": "USD", "label": "Other Current Assets", "order": 250}, "current_liabilities": {"value": 123822000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}, "liabilities_and_equity": {"value": 337411000000.0, "unit": "USD", "label": "Liabilities And Equity", "order": 1900}, "noncurrent_assets": {"value": 208995000000.0, "unit": "USD", "label": "Noncurrent Assets", "order": 300}}, "comprehensive_income": {"comprehensive_income_loss_attributable_to_parent": {"value": 24054000000.0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Parent", "order": 300}, "comprehensive_income_loss": {"value": 24054000000.0, "unit": "USD", "label": "Comprehensive Income/Loss", "order": 100}, "comprehensive_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}, "other_comprehensive_income_loss": {"value": 24054000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss", "order": 400}, "other_comprehensive_income_loss_attributable_to_parent": {"value": 418000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss Attributable To Parent", "order": 600}}, "income_statement": {"basic_earnings_per_share": {"value": 1.53, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "net_income_loss": {"value": 23636000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, 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"USD", "label": "Liabilities", "order": 600}, "current_liabilities": {"value": 137286000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}, "noncurrent_liabilities": {"value": 152734000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "assets": {"value": 346747000000.0, "unit": "USD", "label": "Assets", "order": 100}}, "income_statement": {"net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "basic_earnings_per_share": {"value": 1.89, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "nonoperating_income_loss": {"value": -393000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "gross_profit": {"value": 50332000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "basic_average_shares": {"value": 15892723000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "interest_expense_operating": {"value": 1003000000.0, "unit": "USD", "label": "Interest Expense, Operating", "order": 2700}, "income_loss_from_continuing_operations_after_tax": {"value": 29998000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "operating_expenses": {"value": 14316000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "operating_income_loss": {"value": 36016000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "net_income_loss": {"value": 29998000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "selling_general_and_administrative_expenses": {"value": 6607000000.0, "unit": "USD", "label": "Selling, General, and Administrative Expenses", "order": 1010}, "income_tax_expense_benefit": {"value": 5625000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "net_income_loss_available_to_common_stockholders_basic": {"value": 29998000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "cost_of_revenue": {"value": 66822000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "diluted_average_shares": {"value": 15955718000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "costs_and_expenses": {"value": 81531000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "diluted_earnings_per_share": {"value": 1.88, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}, "benefits_costs_expenses": {"value": 81531000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "revenues": {"value": 117154000000.0, "unit": "USD", "label": "Revenues", "order": 100}, "research_and_development": {"value": 7709000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}, "income_loss_from_continuing_operations_before_tax": {"value": 35623000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "net_income_loss_attributable_to_parent": {"value": 29998000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}}}}, {"start_date": "2022-06-26", "end_date": "2022-09-24", "timeframe": "quarterly", "fiscal_period": "Q4", "fiscal_year": "2022", "cik": "0000320193", "sic": "3571", "tickers": ["AAPL"], "company_name": "Apple Inc.", "financials": {"comprehensive_income": {"comprehensive_income_loss_attributable_to_parent": {"value": 18909000000.0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Parent", "order": 300}, "comprehensive_income_loss": {"value": 18909000000.0, "unit": "USD", "label": "Comprehensive Income/Loss", "order": 100}, "other_comprehensive_income_loss_attributable_to_parent": {"value": -1812000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss Attributable To Parent", "order": 600}, "other_comprehensive_income_loss": {"value": 18909000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss", "order": 400}, "comprehensive_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}}, "balance_sheet": {"liabilities": {"value": 302083000000.0, "unit": "USD", "label": "Liabilities", "order": 600}, "current_assets": {"value": 135405000000.0, "unit": "USD", "label": "Current Assets", "order": 200}, "other_current_assets": {"value": 130459000000.0, "unit": "USD", "label": "Other Current Assets", "order": 250}, "noncurrent_liabilities": {"value": 148101000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "equity_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Equity Attributable To Noncontrolling Interest", "order": 1500}, "inventory": {"value": 4946000000.0, "unit": "USD", "label": "Inventory", "order": 230}, "equity": {"value": 50672000000.0, "unit": "USD", "label": "Equity", "order": 1400}, "liabilities_and_equity": {"value": 352755000000.0, "unit": "USD", "label": "Liabilities And Equity", "order": 1900}, "other_current_liabilities": {"value": 89867000000.0, "unit": "USD", "label": "Other Current Liabilities", "order": 740}, "equity_attributable_to_parent": {"value": 50672000000.0, "unit": "USD", "label": "Equity Attributable To Parent", "order": 1600}, "fixed_assets": {"value": 42117000000.0, "unit": "USD", "label": "Fixed Assets", "order": 320}, "accounts_payable": {"value": 64115000000.0, "unit": "USD", "label": "Accounts Payable", "order": 710}, "assets": {"value": 352755000000.0, "unit": "USD", "label": "Assets", "order": 100}, "other_noncurrent_assets": {"value": 175233000000.0, "unit": "USD", "label": "Other Non-current Assets", "order": 350}, "current_liabilities": {"value": 153982000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}, "noncurrent_assets": {"value": 217350000000.0, "unit": "USD", "label": "Noncurrent Assets", "order": 300}}, "cash_flow_statement": {"net_cash_flow_continuing": {"value": -3884000000.0, "unit": "USD", "label": "Net Cash Flow, Continuing", "order": 1200}, "net_cash_flow_from_investing_activities_continuing": {"value": -1217000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities, Continuing", "order": 500}, "net_cash_flow_from_operating_activities_continuing": {"value": 24127000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities, Continuing", "order": 200}, "net_cash_flow_from_operating_activities": {"value": 24127000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities", "order": 100}, "net_cash_flow": {"value": -3884000000.0, "unit": "USD", "label": "Net Cash Flow", "order": 1100}, "net_cash_flow_from_financing_activities": {"value": -26794000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities", "order": 700}, "net_cash_flow_from_investing_activities": {"value": -1217000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities", "order": 400}, "net_cash_flow_from_financing_activities_continuing": {"value": -26794000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities, Continuing", "order": 800}}, "income_statement": {"interest_expense_operating": {"value": 827000000.0, "unit": "USD", "label": "Interest Expense, Operating", "order": 2700}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "net_income_loss_attributable_to_parent": {"value": 20721000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}, "net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "nonoperating_income_loss": {"value": -237000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "research_and_development": {"value": 6761000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}, "net_income_loss_available_to_common_stockholders_basic": {"value": 20721000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "basic_earnings_per_share": {"value": 1.29, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "revenues": {"value": 90146000000.0, "unit": "USD", "label": "Revenues", "order": 100}, "costs_and_expenses": {"value": 65489000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "diluted_average_shares": {"value": -69118000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "benefits_costs_expenses": {"value": 65489000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "operating_expenses": {"value": 13201000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "cost_of_revenue": {"value": 52051000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "income_tax_expense_benefit": {"value": 3936000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "income_tax_expense_benefit_deferred": {"value": -1861000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit, Deferred", "order": 2400}, "diluted_earnings_per_share": {"value": 1.29, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}, "net_income_loss": {"value": 20721000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "income_loss_from_continuing_operations_after_tax": {"value": 20721000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "basic_average_shares": {"value": -61861000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "income_loss_from_continuing_operations_before_tax": {"value": 24657000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "selling_general_and_administrative_expenses": {"value": 6440000000.0, "unit": "USD", "label": "Selling, General, and Administrative Expenses", "order": 1010}, "operating_income_loss": {"value": 24894000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "gross_profit": {"value": 38095000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}}}}, {"start_date": "2021-09-26", "end_date": "2022-09-24", "filing_date": "2022-10-28", "timeframe": "annual", "fiscal_period": "FY", "fiscal_year": "2022", "cik": "0000320193", "sic": "3571", "tickers": ["AAPL"], "company_name": "Apple Inc.", "source_filing_url": "https://api.polygon.io/v1/reference/sec/filings/0000320193-22-000108", "source_filing_file_url": "http://api.polygon.io/v1/reference/sec/filings/0000320193-22-000108/files/aapl-20220924_htm.xml", "financials": {"cash_flow_statement": {"net_cash_flow_from_financing_activities_continuing": {"value": -110749000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities, Continuing", "order": 800}, "net_cash_flow_from_financing_activities": {"value": -110749000000.0, "unit": "USD", "label": "Net Cash Flow From Financing Activities", "order": 700}, "net_cash_flow_from_investing_activities_continuing": {"value": -22354000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities, Continuing", "order": 500}, "net_cash_flow_from_operating_activities_continuing": {"value": 122151000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities, Continuing", "order": 200}, "net_cash_flow_from_investing_activities": {"value": -22354000000.0, "unit": "USD", "label": "Net Cash Flow From Investing Activities", "order": 400}, "net_cash_flow": {"value": -10952000000.0, "unit": "USD", "label": "Net Cash Flow", "order": 1100}, "net_cash_flow_from_operating_activities": {"value": 122151000000.0, "unit": "USD", "label": "Net Cash Flow From Operating Activities", "order": 100}, "net_cash_flow_continuing": {"value": -10952000000.0, "unit": "USD", "label": "Net Cash Flow, Continuing", "order": 1200}}, "balance_sheet": {"other_current_assets": {"value": 130459000000.0, "unit": "USD", "label": "Other Current Assets", "order": 250}, "equity_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Equity Attributable To Noncontrolling Interest", "order": 1500}, "other_noncurrent_assets": {"value": 175233000000.0, "unit": "USD", "label": "Other Non-current Assets", "order": 350}, "fixed_assets": {"value": 42117000000.0, "unit": "USD", "label": "Fixed Assets", "order": 320}, "equity_attributable_to_parent": {"value": 50672000000.0, "unit": "USD", "label": "Equity Attributable To Parent", "order": 1600}, "noncurrent_assets": {"value": 217350000000.0, "unit": "USD", "label": "Noncurrent Assets", "order": 300}, "accounts_payable": {"value": 64115000000.0, "unit": "USD", "label": "Accounts Payable", "order": 710}, "current_assets": {"value": 135405000000.0, "unit": "USD", "label": "Current Assets", "order": 200}, "equity": {"value": 50672000000.0, "unit": "USD", "label": "Equity", "order": 1400}, "assets": {"value": 352755000000.0, "unit": "USD", "label": "Assets", "order": 100}, "other_current_liabilities": {"value": 89867000000.0, "unit": "USD", "label": "Other Current Liabilities", "order": 740}, "liabilities": {"value": 302083000000.0, "unit": "USD", "label": "Liabilities", "order": 600}, "liabilities_and_equity": {"value": 352755000000.0, "unit": "USD", "label": "Liabilities And Equity", "order": 1900}, "noncurrent_liabilities": {"value": 148101000000.0, "unit": "USD", "label": "Noncurrent Liabilities", "order": 800}, "current_liabilities": {"value": 153982000000.0, "unit": "USD", "label": "Current Liabilities", "order": 700}, "inventory": {"value": 4946000000.0, "unit": "USD", "label": "Inventory", "order": 230}}, "comprehensive_income": {"comprehensive_income_loss_attributable_to_parent": {"value": 88531000000.0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Parent", "order": 300}, "other_comprehensive_income_loss_attributable_to_parent": {"value": -11272000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss Attributable To Parent", "order": 600}, "other_comprehensive_income_loss": {"value": 88531000000.0, "unit": "USD", "label": "Other Comprehensive Income/Loss", "order": 400}, "comprehensive_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Comprehensive Income/Loss Attributable To Noncontrolling Interest", "order": 200}, "comprehensive_income_loss": {"value": 88531000000.0, "unit": "USD", "label": "Comprehensive Income/Loss", "order": 100}}, "income_statement": {"basic_average_shares": {"value": 16215963000.0, "unit": "shares", "label": "Basic Average Shares", "order": 4400}, "income_tax_expense_benefit_deferred": {"value": 895000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit, Deferred", "order": 2400}, "diluted_average_shares": {"value": 16325819000.0, "unit": "shares", "label": "Diluted Average Shares", "order": 4500}, "preferred_stock_dividends_and_other_adjustments": {"value": 0, "unit": "USD", "label": "Preferred Stock Dividends And Other Adjustments", "order": 3900}, "revenues": {"value": 394328000000.0, "unit": "USD", "label": "Revenues", "order": 100}, "gross_profit": {"value": 170782000000.0, "unit": "USD", "label": "Gross Profit", "order": 800}, "research_and_development": {"value": 26251000000.0, "unit": "USD", "label": "Research and Development", "order": 1030}, "participating_securities_distributed_and_undistributed_earnings_loss_basic": {"value": 0, "unit": "USD", "label": "Participating Securities, Distributed And Undistributed Earnings/Loss, Basic", "order": 3800}, "income_loss_from_continuing_operations_before_tax": {"value": 119103000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations Before Tax", "order": 1500}, "net_income_loss_attributable_to_noncontrolling_interest": {"value": 0, "unit": "USD", "label": "Net Income/Loss Attributable To Noncontrolling Interest", "order": 3300}, "interest_expense_operating": {"value": 2931000000.0, "unit": "USD", "label": "Interest Expense, Operating", "order": 2700}, "basic_earnings_per_share": {"value": 6.15, "unit": "USD / shares", "label": "Basic Earnings Per Share", "order": 4200}, "costs_and_expenses": {"value": 275225000000.0, "unit": "USD", "label": "Costs And Expenses", "order": 600}, "selling_general_and_administrative_expenses": {"value": 25094000000.0, "unit": "USD", "label": "Selling, General, and Administrative Expenses", "order": 1010}, "benefits_costs_expenses": {"value": 275225000000.0, "unit": "USD", "label": "Benefits Costs and Expenses", "order": 200}, "nonoperating_income_loss": {"value": -334000000.0, "unit": "USD", "label": "Nonoperating Income/Loss", "order": 900}, "income_loss_from_continuing_operations_after_tax": {"value": 99803000000.0, "unit": "USD", "label": "Income/Loss From Continuing Operations After Tax", "order": 1400}, "net_income_loss_available_to_common_stockholders_basic": {"value": 99803000000.0, "unit": "USD", "label": "Net Income/Loss Available To Common Stockholders, Basic", "order": 3700}, "net_income_loss": {"value": 99803000000.0, "unit": "USD", "label": "Net Income/Loss", "order": 3200}, "income_tax_expense_benefit": {"value": 19300000000.0, "unit": "USD", "label": "Income Tax Expense/Benefit", "order": 2200}, "cost_of_revenue": {"value": 223546000000.0, "unit": "USD", "label": "Cost Of Revenue", "order": 300}, "operating_income_loss": {"value": 119437000000.0, "unit": "USD", "label": "Operating Income/Loss", "order": 1100}, "net_income_loss_attributable_to_parent": {"value": 99803000000.0, "unit": "USD", "label": "Net Income/Loss Attributable To Parent", "order": 3500}, "operating_expenses": {"value": 51345000000.0, "unit": "USD", "label": "Operating Expenses", "order": 1000}, "diluted_earnings_per_share": {"value": 6.11, "unit": "USD / shares", "label": "Diluted Earnings Per Share", "order": 4300}}}}]' name='polygon_financials' tool_call_id='1'
```

### Last Quote

This tool provides information about the live data of a stock, although it requires a "Stocks Advanced" subscription to use.

```python
from langchain_community.tools.polygon.last_quote import PolygonLastQuote

last_quote_tool = PolygonLastQuote(api_wrapper=api_wrapper)

# We can invoke directly with input
res = last_quote_tool.invoke({"query": "AAPL"})

model_generated_tool_call = {
    "args": {"query": "AAPL"},
    "id": "1",
    "name": last_quote_tool.name,
    "type": "tool_call",
}

# Or we can invoke with a tool call
res = last_quote_tool.invoke(model_generated_tool_call)
```

### Ticker News

This tool provides recent news about a certain ticker.

```python
from langchain_community.tools.polygon.ticker_news import PolygonTickerNews

news_tool = PolygonTickerNews(api_wrapper=api_wrapper)

# We can invoke directly with input
res = news_tool.invoke({"query": "AAPL"})

model_generated_tool_call = {
    "args": {"query": "AAPL"},
    "id": "1",
    "name": news_tool.name,
    "type": "tool_call",
}

# Or we can invoke with a tool call
res = news_tool.invoke(model_generated_tool_call)

print(res)
```

```output
content='[{"id": "4fd9f3a653f3d1c6d99a21d7cc62b883e8547109c95778e34de7c6c9ecaccfe4", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Warren Buffett Is Slashing Berkshire Hathaway\'s Position in Apple Stock", "author": "Parkev Tatevosian, Cfa", "published_utc": "2024-08-08T14:16:30Z", "article_url": "https://www.fool.com/investing/2024/08/08/warren-buffett-is-slashing-berkshire-hathaways-pos/?source=iedfolrf0000001", "tickers": ["AAPL"], "image_url": "https://g.foolcdn.com/editorial/images/786449/buffett17-tmf.jpg", "description": "Warren Buffett, the renowned investor, has sold a significant portion of his Apple stock holdings, worth around $90 billion. This move has raised questions about whether it could be Buffett\'s biggest investing mistake.", "keywords": ["Warren Buffett", "Apple", "investing"], "insights": [{"ticker": "AAPL", "sentiment": "negative", "sentiment_reasoning": "The article suggests that Buffett\'s decision to sell a large portion of his Apple stock holdings could be a mistake, implying a negative sentiment towards the company\'s future performance."}]}, {"id": "931602cbcfeb06e22188e205a1cb6127215b7a62e9a37e5cc7a935e8376ac402", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Prediction: 1 Unstoppable Stock Will Join Nvidia, Apple, Microsoft, and Alphabet in the $2 Trillion Club Within 3 Years", "author": "The Motley Fool", "published_utc": "2024-08-08T10:40:00Z", "article_url": "https://www.fool.com/investing/2024/08/08/prediction-1-stock-nvidia-microsoft-in-2-trillion/?source=iedfolrf0000001", "tickers": ["META", "NVDA", "AAPL", "MSFT", "GOOG", "GOOGL"], "image_url": "https://g.foolcdn.com/editorial/images/785914/two-people-laughing-while-watching-a-video-on-a-smartphone.jpg", "description": "Meta Platforms (META) is predicted to join the $2 trillion club within 3 years, driven by its advancements in artificial intelligence and potential to drive significant returns for investors.", "keywords": ["Meta Platforms", "Artificial Intelligence", "Stock Prediction"], "insights": [{"ticker": "META", "sentiment": "positive", "sentiment_reasoning": "The article predicts that Meta Platforms will join the $2 trillion club within 3 years, driven by its advancements in artificial intelligence and potential to drive significant returns for investors."}, {"ticker": "NVDA", "sentiment": "positive", "sentiment_reasoning": "Nvidia is mentioned as one of the companies currently valued at over $2 trillion, indicating its strong market position."}, {"ticker": "AAPL", "sentiment": "positive", "sentiment_reasoning": "Apple is mentioned as one of the companies currently valued at over $2 trillion, indicating its strong market position."}, {"ticker": "MSFT", "sentiment": "positive", "sentiment_reasoning": "Microsoft is mentioned as one of the companies currently valued at over $2 trillion, indicating its strong market position."}, {"ticker": "GOOG", "sentiment": "positive", "sentiment_reasoning": "Alphabet is mentioned as one of the companies currently valued at over $2 trillion, indicating its strong market position."}, {"ticker": "GOOGL", "sentiment": "positive", "sentiment_reasoning": "Alphabet is mentioned as one of the companies currently valued at over $2 trillion, indicating its strong market position."}]}, {"id": "2fedf0bd60526169295242173be22d9cb07aa9bf492859d16a25357b057ab0be", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Nasdaq Correction: My Top \\"Magnificent Seven\\" Stock to Buy in August", "author": "Daniel Foelber", "published_utc": "2024-08-08T10:30:00Z", "article_url": "https://www.fool.com/investing/2024/08/08/nasdaq-buy-microsoft-stock-magnificent-seven/?source=iedfolrf0000001", "tickers": ["MSFT", "GOOG", "GOOGL", "AAPL", "AMZN", "META", "NVDA", "TSLA"], "image_url": "https://g.foolcdn.com/editorial/images/785889/gettyimages-1440510600-1201x761-58a9ed0.jpg", "description": "The article discusses why Microsoft is a compelling investment opportunity among the \'Magnificent Seven\' tech stocks, despite the recent market sell-off. It highlights Microsoft\'s strong profitability, ongoing investments in cloud and AI, and its ability to balance growth and shareholder returns.", "keywords": ["Microsoft", "Magnificent Seven", "tech stocks", "cloud", "AI", "growth", "shareholder returns"], "insights": [{"ticker": "MSFT", "sentiment": "positive", "sentiment_reasoning": "The article argues that Microsoft is a compelling investment opportunity due to its strong profitability, ongoing investments in cloud and AI, and its ability to balance growth and shareholder returns. The author believes Microsoft\'s strategy of prioritizing innovation and market share growth over short-term profitability is a positive long-term move."}, {"ticker": "GOOG", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Alphabet as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "GOOGL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Alphabet as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "AAPL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Apple as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "AMZN", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Amazon as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "META", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Meta Platforms (formerly Facebook) as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "NVDA", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Nvidia as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}, {"ticker": "TSLA", "sentiment": "neutral", "sentiment_reasoning": "The article mentions Tesla as part of the \'Magnificent Seven\' tech stocks, but does not provide any specific analysis or sentiment on the company."}]}, {"id": "aa33fcaf9302450660f1e64e4c05e13a18e508103afb8933a75db47c26eb5969", "publisher": {"name": "Zacks Investment Research", "homepage_url": "https://www.zacks.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/zacks.png", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/zacks.ico"}, "title": "Zacks Earnings Trends Highlights: Microsoft, Alphabet, Amazon, Apple, Meta, Tesla and Nvidia", "author": "Zacks.Com", "published_utc": "2024-08-08T08:34:00Z", "article_url": "https://www.zacks.com/stock/news/2318733/zacks-earnings-trends-highlights-microsoft-alphabet-amazon-apple-meta-tesla-and-nvidia?cid=CS-ZC-FT-press_releases-2318733", "tickers": ["MSFT", "GOOG", "GOOGL", "AMZN", "AAPL", "META", "TSLA", "NVDA"], "image_url": "https://staticx-tuner.zacks.com/images/articles/main/14/776.jpg", "description": "The overall earnings picture for Q2 2024 is one of stability and an improving outlook, with management teams providing a reassuring view of the economic situation. However, estimates for Q3 2024 have started to weaken faster than in previous quarters.", "keywords": ["earnings", "Q2 2024", "Q3 2024", "economic outlook", "earnings estimates"], "insights": [{"ticker": "MSFT", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Microsoft\'s Q2 earnings report, along with those of other \'Magnificent 7\' companies, mostly failed to impress market participants, particularly due to their rising capex levels towards AI projects."}, {"ticker": "GOOG", "sentiment": "neutral", "sentiment_reasoning": "Similar to Microsoft, the article notes that Alphabet\'s Q2 earnings report, along with other \'Magnificent 7\' companies, mostly failed to impress market participants due to their rising capex levels towards AI projects."}, {"ticker": "GOOGL", "sentiment": "neutral", "sentiment_reasoning": "Similar to Microsoft, the article notes that Alphabet\'s Q2 earnings report, along with other \'Magnificent 7\' companies, mostly failed to impress market participants due to their rising capex levels towards AI projects."}, {"ticker": "AMZN", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Amazon\'s Q2 earnings report, along with those of other \'Magnificent 7\' companies, mostly failed to impress market participants, particularly due to their rising capex levels towards AI projects."}, {"ticker": "AAPL", "sentiment": "neutral", "sentiment_reasoning": "The article includes Apple as one of the \'Magnificent 7\' companies, whose Q2 earnings reports mostly failed to impress market participants due to their rising capex levels towards AI projects."}, {"ticker": "META", "sentiment": "neutral", "sentiment_reasoning": "Meta Platforms is included in the \'Magnificent 7\' group of companies, whose Q2 earnings reports mostly failed to impress market participants due to their rising capex levels towards AI projects."}, {"ticker": "TSLA", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Tesla\'s Q2 earnings report, along with those of other \'Magnificent 7\' companies, mostly failed to impress market participants, particularly due to their rising capex levels towards AI projects."}, {"ticker": "NVDA", "sentiment": "neutral", "sentiment_reasoning": "Nvidia is part of the \'Magnificent 7\' group of companies, whose Q2 earnings reports mostly failed to impress market participants due to their rising capex levels towards AI projects."}]}, {"id": "209a172471f92a42b472dd6c53f7e969483ae1cc5f3601edaa6ee1e34502e961", "publisher": {"name": "Investing.com", "homepage_url": "https://www.investing.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/investing.png", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/investing.ico"}, "title": "Airbnb: Stock Drops Post-Earnings, Why Its a Good Buy Now?", "author": "Marketbeat.Com", "published_utc": "2024-08-08T07:10:00Z", "article_url": "https://www.investing.com/analysis/airbnb-stock-drops-postearnings-why-its-a-good-buy-now-200650772", "tickers": ["ABNB", "AAPL", "BAC", "BACpB", "BACpE", "BACpK", "BACpL", "BACpM", "BACpN", "BACpO", "BACpP", "BACpQ", "BACpS", "BMLpG", "BMLpH", "BMLpJ", "BMLpL", "MERpK", "BKNG", "BRK.A", "BRK.B"], "amp_url": "https://m.investing.com/analysis/airbnb-stock-drops-postearnings-why-its-a-good-buy-now-200650772?ampMode=1", "image_url": "https://i-invdn-com.investing.com/redesign/images/seo/investingcom_analysis_og.jpg", "description": "Airbnb stock dropped 14% after reporting strong Q2 2024 earnings, but the company\'s fundamentals remain strong. Analysts see potential for the stock to rally 45.6% to $190 per share as the weaker dollar boosts tourism in the US.", "keywords": ["Airbnb", "stock market", "earnings", "tourism", "US dollar"], "insights": [{"ticker": "ABNB", "sentiment": "positive", "sentiment_reasoning": "The article highlights Airbnb\'s strong financial performance, including 11% revenue growth, 16% increase in free cash flow, and 9% rise in net bookings. The company is also rewarding shareholders through share buybacks, and Wall Street analysts have a positive outlook on the stock."}, {"ticker": "AAPL", "sentiment": "neutral", "sentiment_reasoning": "The article references Berkshire Hathaway\'s decision to sell half of its stake in Apple, which could be interpreted as a neutral signal for the stock."}, {"ticker": "BAC", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpB", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpE", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpK", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpM", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpN", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpO", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpP", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpQ", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BACpS", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BMLpG", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BMLpH", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BMLpJ", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BMLpL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "MERpK", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Berkshire Hathaway has closed some of its positions in Bank of America, which could be seen as a neutral signal for the stock."}, {"ticker": "BKNG", "sentiment": "neutral", "sentiment_reasoning": "The article compares Airbnb\'s valuation to that of Booking Holdings, but does not provide a specific sentiment for the latter company."}, {"ticker": "BRK.A", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Warren Buffett\'s Berkshire Hathaway has sold half of its stake in Apple and closed some positions in Bank of America, which could be seen as a neutral signal for the broader market."}, {"ticker": "BRK.B", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Warren Buffett\'s Berkshire Hathaway has sold half of its stake in Apple and closed some positions in Bank of America, which could be seen as a neutral signal for the broader market."}]}, {"id": "2aff70b4646c05b2e044c3e8df668a0445939b3cfb545b37a8796706d7f7de42", "publisher": {"name": "GlobeNewswire Inc.", "homepage_url": "https://www.globenewswire.com", "logo_url": "https://s3.polygon.io/public/assets/news/logos/globenewswire.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/globenewswire.ico"}, "title": "Global Refurbished Electronics Market Size To Worth USD 123.71 Billion By 2033 | CAGR Of 10.03%", "author": "Spherical Insights & Consulting", "published_utc": "2024-08-08T00:00:00Z", "article_url": "https://www.globenewswire.com/news-release/2024/08/08/2926517/0/en/Global-Refurbished-Electronics-Market-Size-To-Worth-USD-123-71-Billion-By-2033-CAGR-Of-10-03.html", "tickers": ["AAPL", "LNVGY", "EBAY", "DELL", "HPQ", "BBY", "NEGG"], "image_url": "https://ml.globenewswire.com/Resource/Download/b27a94e8-407e-46ae-a5c2-47bb2a1c8a2e", "description": "The global refurbished electronics market is expected to grow from $47.57 billion in 2023 to $123.71 billion by 2033, driven by environmentally conscious consumers and the need for cost-effective alternatives to new electronics.", "keywords": ["refurbished electronics", "e-waste", "sustainability", "cost-effective alternatives"], "insights": [{"ticker": "AAPL", "sentiment": "positive", "sentiment_reasoning": "Apple is a major player in the refurbished electronics market, indicating the company\'s focus on sustainability and providing affordable options for consumers."}, {"ticker": "LNVGY", "sentiment": "positive", "sentiment_reasoning": "Lenovo\'s presence in the refurbished electronics market demonstrates the company\'s diversification and focus on providing affordable technology options."}, {"ticker": "EBAY", "sentiment": "positive", "sentiment_reasoning": "eBay\'s involvement in the refurbished electronics market suggests the platform\'s role in facilitating the sale of reconditioned devices, catering to cost-conscious consumers."}, {"ticker": "DELL", "sentiment": "positive", "sentiment_reasoning": "Dell\'s inclusion as a key player in the refurbished electronics market indicates the company\'s commitment to sustainability and providing affordable technology solutions."}, {"ticker": "HPQ", "sentiment": "positive", "sentiment_reasoning": "HP\'s refurbished laptop venture in India demonstrates the company\'s efforts to expand its presence in the growing refurbished electronics market."}, {"ticker": "BBY", "sentiment": "positive", "sentiment_reasoning": "Best Buy\'s presence in the refurbished electronics market demonstrates the company\'s efforts to cater to cost-conscious consumers and promote sustainability."}, {"ticker": "NEGG", "sentiment": "positive", "sentiment_reasoning": "Newegg\'s involvement in the refurbished electronics market indicates the company\'s efforts to offer a wide range of affordable and sustainable technology options to consumers."}]}, {"id": "167bf58248666b3a16f986ab7dbeaaa02e1a99f22350fbcb41cf00804471810c", "publisher": {"name": "Investing.com", "homepage_url": "https://www.investing.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/investing.png", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/investing.ico"}, "title": "Which \'Magnificent 7\' Stock Offers the Most Value for Money Today?", "author": "The Tokenist", "published_utc": "2024-08-07T19:23:00Z", "article_url": "https://www.investing.com/analysis/which-magnificent-7-stock-offers-the-most-value-for-money-today-200650755", "tickers": ["NVDA", "GOOG", "GOOGL", "AMZN", "META", "MSFT", "AAPL", "TSLA"], "amp_url": "https://m.investing.com/analysis/which-magnificent-7-stock-offers-the-most-value-for-money-today-200650755?ampMode=1", "image_url": "https://i-invdn-com.investing.com/redesign/images/seo/investingcom_analysis_og.jpg", "description": "The article analyzes the performance and outlook of the \'Magnificent 7\' stocks - Apple, Microsoft, Amazon, Alphabet, Meta, Nvidia, and Tesla - in the current market conditions. It highlights the strengths and challenges faced by each company and provides insights on which stock offers the most value for investors.", "keywords": ["Magnificent 7", "stocks", "market performance", "company analysis", "investment value"], "insights": [{"ticker": "NVDA", "sentiment": "positive", "sentiment_reasoning": "Despite facing a delay in the delivery of its Blackwell architecture chips, the article suggests that Nvidia\'s AI-reliant business model and its dominance in the AI training framework will likely keep it at the center of the generative AI trend, making it a resilient investment option."}, {"ticker": "GOOG", "sentiment": "positive", "sentiment_reasoning": "The article argues that despite the recent antitrust ruling against Google, Alphabet is likely to continue its growth trajectory, as it is deeply entrenched in the information landscape and its cloud services are expected to benefit from the integration of AI-based tools."}, {"ticker": "GOOGL", "sentiment": "positive", "sentiment_reasoning": "The article argues that despite the recent antitrust ruling against Google, Alphabet is likely to continue its growth trajectory, as it is deeply entrenched in the information landscape and its cloud services are expected to benefit from the integration of AI-based tools."}, {"ticker": "AMZN", "sentiment": "neutral", "sentiment_reasoning": "While Amazon\'s cloud business remains strong, the article notes that the company\'s overall performance has been lackluster, with missed quarterly estimates and a weaker-than-expected Q3 guidance. However, the article suggests that Amazon\'s diversification into services like Prime Video and advertising could boost its revenue in the long run."}, {"ticker": "META", "sentiment": "positive", "sentiment_reasoning": "The article highlights Meta\'s resilience in the recent market pullback, noting that the company beat revenue and profit estimates in Q2 and provided better-than-expected Q3 guidance. The article also suggests that Meta\'s Llama 3 AI model could be more capable than ChatGPT, further strengthening the company\'s position."}, {"ticker": "MSFT", "sentiment": "neutral", "sentiment_reasoning": "While Microsoft reported better-than-expected total revenue in Q2, the article notes that the company\'s Azure cloud growth fell short of expectations, and it also faces antitrust concerns related to the bundling of its products. However, the article suggests that severe penalties are unlikely."}, {"ticker": "AAPL", "sentiment": "positive", "sentiment_reasoning": "The article acknowledges the negative sentiment surrounding Apple, including the canceled Apple car project and declining iPhone sales in China. However, it suggests that the upcoming launch of Apple Intelligence, which combines text, image, and video manipulation capabilities, could bolster the company\'s position."}, {"ticker": "TSLA", "sentiment": "negative", "sentiment_reasoning": "The article highlights Tesla\'s vulnerable position, facing tough competition from Chinese automakers and the challenge of overcoming the technical hurdle of full-self driving (FSD) technology. While the article notes that Tesla\'s stock has a high valuation, it suggests that the company\'s precarious position makes it a less attractive investment option compared to the other \'Magnificent 7\' stocks."}]}, {"id": "f24e849794dc680a12fee8274eb3edd66e8b21cd8d0b441c9662800a3af75db8", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Where Will Duolingo Be in 5 Years?", "author": "Anders Bylund", "published_utc": "2024-08-07T15:37:00Z", "article_url": "https://www.fool.com/investing/2024/08/07/where-will-duolingo-be-in-5-years/?source=iedfolrf0000001", "tickers": ["AAPL"], "image_url": "https://g.foolcdn.com/editorial/images/786227/group-of-happy-teenagers.jpg", "description": "Duolingo, a leading language learning app, has nearly tripled its revenue in three years and has a higher cash-based profit margin than Apple and Alphabet. The company aims to expand beyond language learning to become a global education platform, similar to the growth trajectories of Netflix and Google.", "keywords": ["Duolingo", "language learning", "education platform", "revenue growth", "profit margin", "Netflix", "Google"], "insights": [{"ticker": "GOOG", "sentiment": "positive", "sentiment_reasoning": "The article compares Duolingo\'s mission and long-term mindset to that of Alphabet (Google), noting that while Duolingo may not match the market success of its mentor, the mere attempt should generate shareholder value."}, {"ticker": "AAPL", "sentiment": "positive", "sentiment_reasoning": "The article highlights that Duolingo\'s cash-based profit margin is higher than that of Apple, indicating the company\'s strong financial performance."}]}, {"id": "c72d90f54fb21db148b53ece4d66c0ce13b0335677bc633e435da704991f6f1f", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Prediction: This Will Be One of the World\'s First $5 Trillion Artificial Intelligence (AI) Stocks", "author": "The Motley Fool", "published_utc": "2024-08-07T08:51:00Z", "article_url": "https://www.fool.com/investing/2024/08/07/prediction-this-will-be-first-5-trillion-ai-stock/?source=iedfolrf0000001", "tickers": ["MSFT", "NVDA", "AAPL", "AMD"], "image_url": "https://g.foolcdn.com/editorial/images/785674/the-microsoft-logo-on-a-black-background.jpg", "description": "Microsoft is quickly becoming a leader in the AI industry, with its Copilot virtual assistant and Azure cloud platform driving significant growth. The article predicts Microsoft could reach a $5 trillion market cap within the next few years, driven by the company\'s investments in AI infrastructure and software.", "keywords": ["Microsoft", "Artificial Intelligence", "Cloud Computing", "Copilot", "Azure"], "insights": [{"ticker": "MSFT", "sentiment": "positive", "sentiment_reasoning": "The article predicts that Microsoft\'s investments in AI, including Copilot and Azure, will drive the company to a $5 trillion market cap within the next few years, representing significant growth potential."}, {"ticker": "NVDA", "sentiment": "positive", "sentiment_reasoning": "The article cites Nvidia CEO Jensen Huang\'s forecast that data center operators can generate $5 in revenue for every $1 spent on chips, which could benefit Microsoft\'s AI initiatives."}, {"ticker": "AAPL", "sentiment": "neutral", "sentiment_reasoning": "The article mentions that Apple is similarly valued to Microsoft and has a path to the $5 trillion milestone, but does not provide any specific insights about Apple\'s AI strategy or potential."}, {"ticker": "AMD", "sentiment": "neutral", "sentiment_reasoning": "The article briefly mentions that Microsoft is building data centers with chips from suppliers like Advanced Micro Devices, but does not provide any further analysis or insights about the company."}]}, {"id": "5397eb0e051db10042f076aa48b1c70f32a7360cf999ac28c16fca2a7dcf4c9c", "publisher": {"name": "The Motley Fool", "homepage_url": "https://www.fool.com/", "logo_url": "https://s3.polygon.io/public/assets/news/logos/themotleyfool.svg", "favicon_url": "https://s3.polygon.io/public/assets/news/favicons/themotleyfool.ico"}, "title": "Warren Buffett Just Sold $90 Billion of Apple Stock. Could This Be the Biggest Investing Mistake He\'s Ever Made?", "author": "The Motley Fool", "published_utc": "2024-08-07T08:50:00Z", "article_url": "https://www.fool.com/investing/2024/08/07/warren-buffett-just-sold-90-billion-of-apple-stock/?source=iedfolrf0000001", "tickers": ["AAPL", "BRK.A", "BRK.B"], "image_url": "https://g.foolcdn.com/editorial/images/785927/buffett22-tmf.png", "description": "Warren Buffett sold $90 billion worth of Apple stock, raising questions about whether it could be his biggest investing mistake. The article discusses Buffett\'s potential reasons for the sale and whether Apple remains a good investment opportunity.", "keywords": ["Warren Buffett", "Apple", "Investing", "Mistake"], "insights": [{"ticker": "AAPL", "sentiment": "positive", "sentiment_reasoning": "The article suggests that Apple remains a good investment opportunity, particularly due to its new artificial intelligence capabilities and the potential for an \'AI-driven iPhone upgrade supercycle\'."}, {"ticker": "BRK.A", "sentiment": "neutral", "sentiment_reasoning": "The article discusses Buffett\'s sale of Apple stock from Berkshire Hathaway\'s portfolio, but does not make a clear judgment on the overall sentiment towards Berkshire Hathaway."}, {"ticker": "BRK.B", "sentiment": "neutral", "sentiment_reasoning": "The article discusses Buffett\'s sale of Apple stock from Berkshire Hathaway\'s portfolio, but does not make a clear judgment on the overall sentiment towards Berkshire Hathaway."}]}]' name='polygon_ticker_news' tool_call_id='1'
```

### API reference

For detailed documentation of all Polygon IO tools head to the API reference for each:

- Aggregate: [python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.aggregates.PolygonAggregates.html](https://python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.aggregates.PolygonAggregates.html)
- Financials: [python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.financials.PolygonFinancials.html](https://python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.financials.PolygonFinancials.html)
- Last Quote: [python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.last_quote.PolygonLastQuote.html](https://python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.last_quote.PolygonLastQuote.html)
- Ticker News: [python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.ticker_news.PolygonTickerNews.html](https://python.langchain.com/api_reference/community/tools/langchain_community.tools.polygon.ticker_news.PolygonTickerNews.html)
